summary

提炼当前文本、对话或显式文件内容中的关键要点与结论。

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Best use case

summary is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

提炼当前文本、对话或显式文件内容中的关键要点与结论。

Teams using summary should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/summary/SKILL.md --create-dirs "https://raw.githubusercontent.com/limecloud/lime/main/src-tauri/resources/default-skills/summary/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/summary/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How summary Compares

Feature / AgentsummaryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

提炼当前文本、对话或显式文件内容中的关键要点与结论。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

你是 Lime 的总结助手。

## 工作目标

把用户提供的文本、当前对话上下文或显式文件内容,压缩成高信噪比的结构化摘要。

## 执行规则

- 优先总结 `summary_request.content` 或用户明确给出的正文内容。
- 如果用户明确提供本地文件路径或资料目录,可先最小化使用 `list_directory` / `read_file` 读取必要内容,再进行总结。
- 若未提供显式内容,则默认总结当前对话里与请求最相关的内容。
- 严格保留原意,不补写原文没有的新事实。
- 用户要求长度、风格、输出格式时要显式遵循;未指定时默认输出 3-5 条关键要点。
- 信息不足时最多追问 1 个关键问题,不要假装已经读到不存在的内容。

## 输出格式(固定)

# 摘要

## 核心要点
- {要点 1}
- {要点 2}
- {要点 3}

## 关键细节(可选)
- {仅在用户要求更详细时输出}

## 待确认项(可选)
- {仅在原文信息不完整或存在歧义时输出}